KOVAL-Q uses SAT solving to optimize and verify surface-code logical operations with general encodings, finding d-cycle CNOTs and 2d-cycle rotations that reduce FTQC application runtime by about 10 percent.
Dependency-aware compilation for surface code quantum architectures
4 Pith papers cite this work. Polarity classification is still indexing.
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A microarchitecture-aware compiler for lattice surgery that exploits C-Phase commutativity to enable concurrent multi-target operations and dynamic event-driven scheduling, cutting execution time by up to 59.7 times versus standard baselines.
A workload-aware surface-code architecture with ancilla-centric patches and T-gate-based floorplanning reduces required data tiles by up to 21% while maintaining near-optimal cycles per instruction and reaching 90% efficiency for 10 concurrent programs.
citing papers explorer
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Design automation and space-time reduction for surface-code logical operations using a SAT-based EDA kernel compatible with general encodings
KOVAL-Q uses SAT solving to optimize and verify surface-code logical operations with general encodings, finding d-cycle CNOTs and 2d-cycle rotations that reduce FTQC application runtime by about 10 percent.
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C-Phase-Aware Compilation for Efficient Fault-Tolerant Quantum Execution
A microarchitecture-aware compiler for lattice surgery that exploits C-Phase commutativity to enable concurrent multi-target operations and dynamic event-driven scheduling, cutting execution time by up to 59.7 times versus standard baselines.
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Toward designing workload-aware Surface Code Architectures
A workload-aware surface-code architecture with ancilla-centric patches and T-gate-based floorplanning reduces required data tiles by up to 21% while maintaining near-optimal cycles per instruction and reaching 90% efficiency for 10 concurrent programs.
- PureMagic: A Dynamic Scheduler for Lattice Surgery